BBMBC: Beta-Binomial Models for Immune Cell Frequencies and Power Calculations

Provides tools to model overdispersed immune cell frequencies using Beta-Binomial generalized linear models. Originally designed for memory B cells, the framework generalizes to evaluate rare cellular immune responses across vaccinology, immuno-oncology, and related fields. Includes method-of-moments dispersion estimation, likelihood ratio testing across experimental arms, and Monte Carlo simulation to calculate statistical power and Type I error rates. The methodologies are directly motivated by the analysis of immunology data in "Vaccination with mRNA-encoded membrane-anchored HIV envelope trimers elicited tier 2 neutralizing antibodies in a phase 1 clinical trial" (Parks et al. 2025) <doi:10.1126/scitranslmed.ady6831>.

Version:	1.0.1
Depends:	R (≥ 4.1.0)
Imports:	doParallel, foreach, glmmTMB, parallel, stats, utils
Suggests:	testthat (≥ 3.0.0)
Published:	2026-10-31
DOI:	10.32614/CRAN.package.BBMBC
Author:	Andrew Shin [aut, cre]
Maintainer:	Andrew Shin <ashin2 at uw.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	BBMBC results

Documentation:

Reference manual:

BBMBC.html , BBMBC.pdf

Downloads:

Package source:	BBMBC_1.0.1.tar.gz
Windows binaries:	r-devel: BBMBC_0.1.0.zip, r-release: BBMBC_0.1.0.zip, r-oldrel: BBMBC_0.1.0.zip
macOS binaries:	r-release (arm64): BBMBC_0.1.0.tgz, r-oldrel (arm64): BBMBC_0.1.0.tgz, r-release (x86_64): BBMBC_0.1.0.tgz, r-oldrel (x86_64): BBMBC_0.1.0.tgz
Old sources:	BBMBC archive

Linking:

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